Latent Class Models

Clogg, Clifford C.

doi:10.1007/978-1-4899-1292-3_6

Cited by 448 publications

(221 citation statements)

References 61 publications

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“…The greater the number of classes, the better the model's fit. The optimal choice is represented by the model that has an adequate fit and the lesser number of classes possible (Clogg, 1995;. A variety of information criteria can be utilised to choose the number of classes; one of the most employed is the Bayesian Information Criteria (BIC).…”

Section: Discussionmentioning

confidence: 99%

Food habits. Changes among young Italians in the last 10years

et al. 2013

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a b s t r a c tThe study aims to identify future trends in food habits by comparing the food choices made in Italy by Generation X in the year 2000 with those of Generation Y in 2009. The analysis was conducted utilising the food expenditures surveyed by the National Statistics Institute on a representative sample of consumers. Segmentation was performed using the Latent Class Clustering in order to identify the principal food patterns and their evolution in the span of a decade. The results point out some trends of homologation in food consumptions that are potentially problematic from the viewpoint of the healthy aspects. An increase is noted among the so-called savers, characterised by a diet with a high energetic density, while a decline is noted among the young ''traditionals'' who stand out for their high consumptions of fruit, vegetables and fish. Out-of-the-home consumptions become established among singles, and there is an increase of easy to prepare and ready to eat products, especially among the young people with children of Northern Italy. These elements raise several issues with regard to social, economic and health implications. Public intervention becomes fundamental to provide information and stimulate markets in orienting producers and consumers towards virtuous models, compatible with the new demands of society.

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Section: Discussionmentioning

confidence: 99%

Food habits. Changes among young Italians in the last 10years

et al. 2013

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“…Furthermore, when the latent variable is introduced into the model, the observed variables will be mutually independent within each subtype. This latter assumption is known as ' local independence ' in the latent class literature (Clogg, 1995) and implies that the subject's response to any item is dependent only on their latent class assignment. The parameters to be estimated in a latent class model are (1) the proportion of the sample composing each class and (2) the class-specific symptom endorsement probabilities (SEPs).…”

Section: Discussionmentioning

confidence: 99%

Clustering of eating disorder symptoms in a general population female twin sample: a latent class analysis

et al. 2007

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“…As in the LPA, for LCA (e.g., Clogg, 1995;Lazarsfeld & Henry, 1968) data are multivariate and cross-sectional. But now we have J categorical (here, binary) outcomes, for instance, depression symptoms where y ij D 1 if endorsed and y ij D 0 if denied.…”

Section: Latent Class Analysis (Lca)mentioning

confidence: 99%

Understanding Linkages Among Mixture Models

Sterba

2013

Multivariate Behavioral Research

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The methodological literature on mixture modeling has rapidly expanded in the past 15 years, and mixture models are increasingly applied in practice. Nonetheless, this literature has historically been diffuse, with different notations, motivations, and parameterizations making mixture models appear disconnected. This pedagogical review facilitates an integrative understanding of mixture models. First, 5 prototypic mixture models are presented in a unified format with incremental complexity while highlighting their mutual reliance on familiar probability laws, common assumptions, and shared aspects of interpretation. Second, 2 recent extensionshybrid mixtures and parallel-process mixtures-are discussed. Both relax a key assumption of classic mixture models but do so in different ways. Similarities in construction and interpretation among hybrid mixtures and among parallel-process mixtures are emphasized. Third, the combination of both extensions is motivated and illustrated by means of an example on oppositional defiant and depressive symptoms. By clarifying how existing mixture models relate and can be combined, this article bridges past and current developments and provides a foundation for understanding new developments.

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Latent Class Models

Cited by 448 publications

References 61 publications

Food habits. Changes among young Italians in the last 10years

Food habits. Changes among young Italians in the last 10years

Clustering of eating disorder symptoms in a general population female twin sample: a latent class analysis

Understanding Linkages Among Mixture Models

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